Defect Detection of Die Castings Based on ShuffleNetv2-plus-YOLOX Algorithm
Owing to the difficulty in defect detection of die-casting,lower detection efficiency and poor working envi-ronment,a defect detection software for die casting products based on YOLOX model was developed,and the original data set was enhanced by the data enhancement module in the software,solving the problem of the lack of data set.Then,the Darknet53 structure of YOLOX was skillfully replaced by ShuffleNetv2-plus,and finally improved the aver-age detection accuracy of die-casting part defect based on YOLOX model detection from 86.51%of the original model to 89.19%,which greatly improves the recognition precision of die-casting defects by YOLOX model.
Die Casting DefectDefect DetectionShuffleNetv2-plusYOLOXData Enhancement
NETL
NSTL
万方数据
维普
